Gao Huang

413 papers A* 98A 2B 4Journal 280Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Simple and Effective Architecture Selection Method for Differentiable Architecture Search.
IEEE Trans. Artif. Intell.
Boxu Chen, Le Yang, Ziwei Zheng, Fan Li, Shiji Song, Gao Huang, Chao Shen
2026 J jnl
AdaGen: Learning Adaptive Policy for Image Synthesis.
CoRR
Zanlin Ni, Yulin Wang, YeGuo Hua, Renping Zhou, Jiayi Guo, Jun Song, Bo Zheng, Gao Huang
2026 J jnl
AdaGen: Learning Adaptive Policy for Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell.
Zanlin Ni, Yulin Wang, YeGuo Hua, Renping Zhou, Jiayi Guo, Jun Song, Bo Zheng, Gao Huang
2026 — conf
Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers.
EACL (Volume 1: Long Papers)
Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes
2026 J jnl
Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks.
CoRR
Honghui Wang, Zhi Jing, Jicong Ao, Shiji Song, Xuelong Li, Gao Huang, Chenjia Bai
2026 J jnl
DyDiT++: Diffusion Transformers With Timestep and Spatial Dynamics for Efficient Visual Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You
2026 J jnl
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning.
CoRR
Shenzhi Wang, Shixuan Liu, Jingren Zhou, Chang Gao, Xiong-Hui Chen, Binghai Wang, An Yang, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin
2026 J jnl
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer.
IEEE Trans. Circuits Syst. Video Technol.
Zheng Liu, Jinchao Zhu, Nannan Li, Gao Huang
2026 J jnl
SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm.
CoRR
Tianyu Li, Dongchen Han, Zixuan Cao, Haofeng Huang, Mengyu Zhou, Ming Chen, Erchao Zhao, Xiaoxi Jiang, Guanjun Jiang, Gao Huang
2026 A* conf
SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation.
AAAI
Hao Shi, Bin Xie, Yingfei Liu, Yang Yue, Tiancai Wang, Haoqiang Fan, Xiangyu Zhang, Gao Huang
2026 J jnl
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models.
CoRR
Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, YeGuo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang
2026 J jnl
Thickening-to-Thinning: Reward Shaping via Human-Inspired Learning Dynamics for LLM Reasoning.
CoRR
Wenze Lin, Zhen Yang, Xitai Jiang, Pony Ma, Gao Huang
2026 J jnl
TwinRL-VLA: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation.
CoRR
Qinwen Xu, Jiaming Liu, Rui Zhou, Shaojun Shi, Nuowei Han, Zhuoyang Liu, Chenyang Gu, Shuo Gu, Yang Yue, Gao Huang, Wenzhao Zheng, Sirui Han, Peng Jia, Shanghang Zhang
2026 J jnl
UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance.
Pattern Recognit.
Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang
2026 J jnl
UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation.
CoRR
Teng Wang, Haojun Jiang, Chenxi Li, Diwen Wang, Yihang Tang, Zhenguo Sun, Yujiao Deng, Shiji Song, Gao Huang
2026 A* conf
Vision Transformers Are Circulant Attention Learners.
AAAI
Dongchen Han, Tianyu Li, Ziyi Wang, Gao Huang
2025 A* conf
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models.
CVPR
Wanhua Li, Renping Zhou, Jiawei Zhou, Yingwei Song, Johannes Herter, Minghan Qin, Gao Huang, Hanspeter Pfister
2025 J jnl
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models.
CoRR
Wanhua Li, Renping Zhou, Jiawei Zhou, Yingwei Song, Johannes Herter, Minghan Qin, Gao Huang, Hanspeter Pfister
2025 J jnl
A-SDM: Accelerating Stable Diffusion Through Model Assembly and Feature Inheritance Strategies.
IEEE Trans. Neural Networks Learn. Syst.
Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang
2025 A* conf
ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation.
CVPR
Yifan Pu, Yiming Zhao, Zhicong Tang, Ruihong Yin, Haoxing Ye, Yuhui Yuan, Dong Chen, Jianmin Bao, Sirui Zhang, Yanbin Wang, Lin Liang, Lijuan Wang, Ji Li, Xiu Li, Zhouhui Lian, Gao Huang, Baining Guo
2025 J jnl
ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation.
CoRR
Yifan Pu, Yiming Zhao, Zhicong Tang, Ruihong Yin, Haoxing Ye, Yuhui Yuan, Dong Chen, Jianmin Bao, Sirui Zhang, Yanbin Wang, Lin Liang, Lijuan Wang, Ji Li, Xiu Li, Zhouhui Lian, Gao Huang, Baining Guo
2025 J jnl
Absolute Zero: Reinforced Self-play Reasoning with Zero Data.
CoRR
Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang
2025 J jnl
Advancing Generalization in PINNs Through Latent-Space Representations.
IEEE Trans. Neural Networks Learn. Syst.
Honghui Wang, Yifan Pu, Shiji Song, Gao Huang
2025 J jnl
Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis.
Artif. Intell. Medicine
Yukang Yang, Yu Wang, Tianyu Liu, Miao Wang, Ming Sun, Shiji Song, Wenhui Fan, Gao Huang
2025 J jnl
Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers.
CoRR
Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes
2025 J jnl
BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition.
CoRR
Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang
2025 J jnl
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
CoRR
Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xionghui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin
2025 J jnl
CC-FMO: Camera-Conditioned Zero-Shot Single Image to 3D Scene Generation with Foundation Model Orchestration.
CoRR
Boshi Tang, Henry Zheng, Rui Huang, Gao Huang
2025 J jnl
CODA: Repurposing Continuous VAEs for Discrete Tokenization.
CoRR
Zeyu Liu, Zanlin Ni, YeGuo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang
2025 A* conf
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning.
CVPR
Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang
2025 J jnl
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning.
CoRR
Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang
2025 J jnl
Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model.
CoRR
Renping Zhou, Zanlin Ni, Tianyi Chen, Zeyu Liu, Yang Yue, Yulin Wang, Yuxuan Wang, Jingshu Liu, Gao Huang
2025 J jnl
Collaborative Low-Rank Adaptation for Pre-Trained Vision Transformers.
CoRR
Zheng Liu, Jinchao Zhu, Gao Huang
2025 J jnl
Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448].
Neural Networks
Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2025 J jnl
Cross-modal adapter for vision-language retrieval.
Pattern Recognit.
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang
2025 A* conf
DTOS: Dynamic Time Object Sensing with Large Multimodal Model.
CVPR
Jirui Tian, Jinrong Zhang, Shenglan Liu, Luhao Xu, Zhixiong Huang, Gao Huang
2025 J jnl
Decoupled Prioritized Resampling for Offline RL.
IEEE Trans. Neural Networks Learn. Syst.
Yang Yue, Bingyi Kang, Xiao Ma, Qisen Yang, Gao Huang, Shiji Song, Shuicheng Yan
2025 J jnl
DenseGrounding: Improving Dense Language-Vision Semantics for Ego-Centric 3D Visual Grounding.
CoRR
Henry Zheng, Hao Shi, Qihang Peng, Yong Xien Chng, Rui Huang, Yepeng Weng, Zhongchao Shi, Gao Huang
2025 A* conf
DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding.
ICLR
Henry Zheng, Hao Shi, Qihang Peng, Yong Xien Chng, Rui Huang, Yepeng Weng, Zhongchao Shi, Gao Huang
2025 A* conf
Differential Transformer.
ICLR
Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
2025 A* conf
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints.
AAAI
Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang
2025 J jnl
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
CoRR
Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Shiji Song, Gao Huang
2025 J jnl
Domain Adaptation via Prompt Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang
2025 J jnl
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation.
CoRR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You
2025 J jnl
DyMoDreamer: World Modeling with Dynamic Modulation.
CoRR
Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang
2025 A* conf
Dynamic Diffusion Transformer.
ICLR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
2025 A* conf
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance.
CVPR
Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang
2025 J jnl
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance.
CoRR
Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang
2025 J jnl
Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception.
CoRR
Yulin Wang, Yang Yue, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang
2025 J jnl
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jin-Rong Zhang, Wujun Wen, Shen-lan Liu, Gao Huang, Yun-Heng Li, Qifeng Li, Lin Feng
2025 A* conf
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.
CVPR
Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang
2025 J jnl
Few-Step Distillation for Text-to-Image Generation: A Practical Guide.
CoRR
Yifan Pu, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Fan Wang, Bohan Zhuang, Gao Huang
2025 J jnl
From ReLU to GeMU: Activation functions in the lens of cone projection.
Neural Networks
Jiayun Li, Yuxiao Cheng, Yiwen Lu, Zhuofan Xia, Yilin Mo, Gao Huang
2025 A* conf
GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling.
ICLR
Honghui Wang, Shiji Song, Gao Huang
2025 A* conf
HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding.
CVPR
Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai
2025 A* conf
How Far Is Video Generation from World Model: A Physical Law Perspective.
ICML
Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2025 J jnl
IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance.
CoRR
Jiayi Guo, Chuanhao Yan, Xingqian Xu, Yulin Wang, Kai Wang, Gao Huang, Humphrey Shi
2025 J jnl
InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation.
Int. J. Comput. Vis.
Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang
2025 J jnl
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials.
CoRR
Yifan Pu, Jixuan Ying, Qixiu Li, Tianzhu Ye, Dongchen Han, Xiaochen Wang, Ziyi Wang, Xinyu Shao, Gao Huang, Xiu Li
2025 J jnl
MOVE: A Simple Motion-Based Data Collection Paradigm for Spatial Generalization in Robotic Manipulation.
CoRR
Huanqian Wang, Chi Bene Chen, Yang Yue, Danhua Tao, Tong Guo, Shaoxuan Xie, Denghang Huang, Shiji Song, Guocai Yao, Gao Huang
2025 J jnl
MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation.
CoRR
Hao Shi, Bin Xie, Yingfei Liu, Lin Sun, Fengrong Liu, Tiancai Wang, Erjin Zhou, Haoqiang Fan, Xiangyu Zhang, Gao Huang
2025 — conf
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing.
NAACL (Long Papers)
Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
2025 J jnl
Multidimensional Refinement Graph Convolutional Network With Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Shenglan Liu, Yu-Ning Ding, Jinrong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Fei-Long Wang, Gao Huang
2025 A* conf
ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding.
CVPR
Qihang Peng, Henry Zheng, Gao Huang
2025 J jnl
ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding.
CoRR
Qihang Peng, Henry Zheng, Gao Huang
2025 J jnl
RoboCOIN: An Open-Sourced Bimanual Robotic Data COllection for INtegrated Manipulation.
CoRR
Shihan Wu, Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, Yuxi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang, Yonghua Lin, Zhongyuan Wang, Guocai Yao
2025 J jnl
Self-Referencing Agents for Unsupervised Reinforcement Learning.
Neural Networks
Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2025 J jnl
SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning.
CoRR
Yong Xien Chng, Tao Hu, Wenwen Tong, Xueheng Li, Jiandong Chen, Haojia Yu, Jiefan Lu, Hewei Guo, Hanming Deng, Xie Chen, Gao Huang, Dahua Lin, Lewei Lu
2025 J jnl
SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation.
CoRR
Hao Shi, Bin Xie, Yingfei Liu, Yang Yue, Tiancai Wang, Haoqiang Fan, Xiangyu Zhang, Gao Huang
2025 J jnl
Step by Step Network.
CoRR
Dongchen Han, Tianzhu Ye, Zhuofan Xia, Kaiyi Chen, Yulin Wang, Hanting Chen, Gao Huang
2025 A* conf
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias.
ICLR
Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang
2025 J jnl
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias.
CoRR
Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang
2025 J jnl
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process.
CoRR
Rui Lu, Yang Yue, Andrew Zhao, Simon S. Du, Gao Huang
2025 J jnl
Towards pedestrian head tracking: A benchmark dataset and a multi-source data fusion network.
Eng. Appl. Artif. Intell.
Kailai Sun, Xinwei Wang, Shaobo Liu, Qianchuan Zhao, Gao Huang, Chang Liu
2025 A conf
UltraDP: Generalizable Carotid Ultrasound Scanning with Force-Aware Diffusion Policy.
IROS
Ruoqu Chen, Xiangjie Yan, Kangchen Lv, Gao Huang, Zheng Li, Xiang Li
2025 J jnl
UltraDP: Generalizable Carotid Ultrasound Scanning with Force-Aware Diffusion Policy.
CoRR
Ruoqu Chen, Xiangjie Yan, Kangchen Lv, Gao Huang, Zheng Li, Xiang Li
2025 J jnl
UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography.
CoRR
Teng Wang, Haojun Jiang, Yuxuan Wang, Zhenguo Sun, Xiangjie Yan, Xiang Li, Gao Huang
2025 J jnl
Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Yulin Wang, Haoji Zhang, Yang Yue, Shiji Song, Chao Deng, Junlan Feng, Gao Huang
2025 J jnl
VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance.
CoRR
Teng Wang, Haojun Jiang, Yuxuan Wang, Zhenguo Sun, Shiji Song, Gao Huang
2025 J jnl
ViT
CoRR
Dongchen Han, Yining Li, Tianyu Li, Zixuan Cao, Ziming Wang, Jun Song, Yu Cheng, Bo Zheng, Gao Huang
2025 J jnl
Video Perception Models for 3D Scene Synthesis.
CoRR
Rui Huang, Guangyao Zhai, Zuria Bauer, Marc Pollefeys, Federico Tombari, Leonidas J. Guibas, Gao Huang, Francis Engelmann
2025 J jnl
Vision Transformers are Circulant Attention Learners.
CoRR
Dongchen Han, Tianyu Li, Ziyi Wang, Gao Huang
2024 J jnl
2023 Low-Power Computer Vision Challenge (LPCVC) Summary.
CoRR
Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2024 A conf
A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance.
IROS
Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li
2024 J jnl
A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance.
CoRR
Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li
2024 J jnl
A unified framework for convolution-based graph neural networks.
Pattern Recognit.
Xuran Pan, Xiaoyan Han, Chaofei Wang, Zhuo Li, Shiji Song, Gao Huang, Cheng Wu
2024 J jnl
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies.
CoRR
Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang
2024 A* conf
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.
ICLR
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
2024 J jnl
AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks.
IEEE Trans. Cogn. Dev. Syst.
Le Yang, Ziwei Zheng, Jian Wang, Shiji Song, Gao Huang, Fan Li
2024 — conf
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.
ECCV (16)
Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024 J jnl
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.
CoRR
Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024 J jnl
Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint.
Int. J. Comput. Vis.
Mixue Xie, Shuang Li, Kaixiong Gong, Yulin Wang, Gao Huang
2024 J jnl
Advancing Generalization in PINNs through Latent-Space Representations.
CoRR
Honghui Wang, Yifan Pu, Shiji Song, Gao Huang
2024 — conf
Agent Attention: On the Integration of Softmax and Linear Attention.
ECCV (50)
Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Siyuan Pan, Pengfei Wan, Shiji Song, Gao Huang
2024 J jnl
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images.
IEEE Trans. Medical Imaging
Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He
2024 — conf
Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling.
ACL (Findings)
Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
2024 A* conf
Bridging the Divide: Reconsidering Softmax and Linear Attention.
NeurIPS
Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang
2024 J jnl
Bridging the Divide: Reconsidering Softmax and Linear Attention.
CoRR
Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang
2024 A* conf
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing.
NeurIPS
Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li
2024 J jnl
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing.
CoRR
Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li
2024 — conf
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
MICCAI (1)
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
CoRR
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models.
CoRR
Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng
2024 J jnl
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Lei Ren, Haiteng Wang, Gao Huang
2024 A* conf
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.
NeurIPS
Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang
2024 J jnl
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.
CoRR
Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang
2024 A* conf
Demystify Mamba in Vision: A Linear Attention Perspective.
NeurIPS
Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang
2024 J jnl
Demystify Mamba in Vision: A Linear Attention Perspective.
CoRR
Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang
2024 J jnl
Differential Transformer.
CoRR
Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
2024 J jnl
DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints.
CoRR
Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang
2024 — conf
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.
ECCV (46)
Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li
2024 J jnl
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.
CoRR
Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li
2024 J jnl
Dynamic Diffusion Transformer.
CoRR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
2024 J jnl
Dynamic Spatial Focus for Efficient Compressed Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Ziwei Zheng, Le Yang, Yulin Wang, Miao Zhang, Lijun He, Gao Huang, Fan Li
2024 A* conf
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.
NeurIPS
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
2024 J jnl
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.
CoRR
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
2024 A* conf
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.
NeurIPS
Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
2024 J jnl
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.
CoRR
Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
2024 — conf
Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators.
ECCV (15)
Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, Xiu Li
2024 J jnl
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators.
CoRR
Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, Xiu Li
2024 J jnl
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.
CoRR
Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang
2024 J jnl
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.
IEEE Trans. Pattern Anal. Mach. Intell.
Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang
2024 J jnl
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.
CoRR
Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang
2024 A* conf
ExpeL: LLM Agents Are Experiential Learners.
AAAI
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2024 A* conf
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation.
AAAI
Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu
2024 — conf
Exploring Text-to-Motion Generation with Human Preference.
CVPR Workshops
Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu
2024 J jnl
Exploring Text-to-Motion Generation with Human Preference.
CoRR
Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu
2024 J jnl
Exploring contextual modeling with linear complexity for point cloud segmentation.
CoRR
Yong Xien Chng, Xuchong Qiu, Yizeng Han, Yifan Pu, Jiewei Cao, Gao Huang
2024 J jnl
FaceCLIP: Facial Image-to-Video Translation via a Brief Text Description.
IEEE Trans. Circuits Syst. Video Technol.
Jiayi Guo, Hayk Manukyan, Chenyu Yang, Chaofei Wang, Levon Khachatryan, Shant Navasardyan, Shiji Song, Humphrey Shi, Gao Huang
2024 J jnl
Fine-Grained Recognition With Learnable Semantic Data Augmentation.
IEEE Trans. Image Process.
Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang
2024 J jnl
Frequency-Aware Feature Fusion for Dense Image Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang
2024 J jnl
Frequency-aware Feature Fusion for Dense Image Prediction.
CoRR
Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang
2024 — conf
GRA: Detecting Oriented Objects Through Group-Wise Rotating and Attention.
ECCV (17)
Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang
2024 J jnl
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention.
CoRR
Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang
2024 A* conf
GSVA: Generalized Segmentation via Multimodal Large Language Models.
CVPR
Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang
2024 — conf
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering.
ECCV (75)
Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan
2024 J jnl
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering.
CoRR
Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan
2024 J jnl
HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding.
CoRR
Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai
2024 J jnl
How Far is Video Generation from World Model: A Physical Law Perspective.
CoRR
Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2024 J jnl
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning With Expert Guidance.
IEEE Trans. Neural Networks Learn. Syst.
Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song
2024 J jnl
Joint representation learning for text and 3D point cloud.
Pattern Recognit.
Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song, Gao Huang
2024 J jnl
LLM Agents for Psychology: A Study on Gamified Assessments.
CoRR
Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang
2024 J jnl
LLM-based Optimization of Compound AI Systems: A Survey.
CoRR
Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi Wang, Yang Yue, Yiran Wu, Huan Liu, Jun Liu, Gao Huang, Yong-Jin Liu
2024 — conf
LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images.
ECCV (83)
Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang
2024 J jnl
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.
CoRR
Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang
2024 J jnl
Latency-Aware Unified Dynamic Networks for Efficient Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Yizeng Han, Zeyu Liu, Zhihang Yuan, Yifan Pu, Chaofei Wang, Shiji Song, Gao Huang
2024 A* conf
Learning 1D Causal Visual Representation with De-focus Attention Networks.
NeurIPS
Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
2024 J jnl
Learning 1D Causal Visual Representation with De-focus Attention Networks.
CoRR
Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
2024 J jnl
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song
2024 A* conf
Mask Grounding for Referring Image Segmentation.
CVPR
Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang
2024 J jnl
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing.
CoRR
Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
2024 J jnl
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer.
CoRR
Zheng Liu, Jinchao Zhu, Nannan Li, Gao Huang
2024 J jnl
OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength.
IEEE Trans. Cybern.
Le Yang, Ziwei Zheng, Yizeng Han, Shiji Song, Gao Huang, Fan Li
2024 J jnl
OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength.
CoRR
Le Yang, Ziwei Zheng, Yizeng Han, Shiji Song, Gao Huang, Fan Li
2024 J jnl
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition.
CoRR
Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang
2024 J jnl
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang
2024 A* conf
Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models.
CVPR
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
2024 — conf
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents.
ACL (1)
Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang
2024 A* conf
Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.
ACM Multimedia
Ziwei Zheng, Zechuan Zhang, Yulin Wang, Shiji Song, Gao Huang, Le Yang
2024 J jnl
Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.
CoRR
Ziwei Zheng, Zechuan Zhang, Yulin Wang, Shiji Song, Gao Huang, Le Yang
2024 A* conf
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.
CVPR
Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang
2024 J jnl
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.
CoRR
Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang
2024 — conf
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels.
ECCV (34)
Rui Huang, Songyou Peng, Ayça Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann
2024 J jnl
Semantic Refocused Tuning for Open-Vocabulary Panoptic Segmentation.
CoRR
Yong Xien Chng, Xuchong Qiu, Yizeng Han, Kai Ding, Wan Ding, Gao Huang
2024 J jnl
Sequence-aware Pre-training for Echocardiography Probe Guidance.
CoRR
Haojun Jiang, Zhenguo Sun, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang
2024 A* conf
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.
ICML
Chaoqun Du, Yizeng Han, Gao Huang
2024 J jnl
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.
CoRR
Chaoqun Du, Yizeng Han, Gao Huang
2024 A* conf
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models.
CVPR
Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi
2024 — conf
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
ASMUS@MICCAI
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
CoRR
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 A* conf
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data.
NeurIPS
Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang
2024 J jnl
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data.
CoRR
Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang
2024 J jnl
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition.
CoRR
Yulin Wang, Haoji Zhang, Yang Yue, Shiji Song, Chao Deng, Junlan Feng, Gao Huang
2024 J jnl
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation.
CoRR
Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang
2024 — conf
Vision-Based Detection and Real-Time Adaptive Control Schemes for Autonomous Ultrasound Scanning Robots.
ICARM
Guokun Wu, Shaqi Luo, Gao Huang, Xiang Li
2023 J jnl
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.
CoRR
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
2023 A* conf
Adaptive Rotated Convolution for Rotated Object Detection.
ICCV
Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang
2023 J jnl
Adaptive Rotated Convolution for Rotated Object Detection.
CoRR
Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang
2023 J jnl
Agent Attention: On the Integration of Softmax and Linear Attention.
CoRR
Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Shiji Song, Gao Huang
2023 J jnl
Augmenting Unsupervised Reinforcement Learning with Self-Reference.
CoRR
Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2023 J jnl
Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.
CoRR
Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
2023 A* conf
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.
CVPR
Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
2023 A* conf
Boosted Dynamic Neural Networks.
AAAI
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi
2023 A* conf
Boosting Offline Reinforcement Learning with Action Preference Query.
ICML
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang
2023 J jnl
Boosting Offline Reinforcement Learning with Action Preference Query.
CoRR
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang
2023 A* conf
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm.
ICCV
Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang
2023 A* conf
Budgeted Training for Vision Transformer.
ICLR
Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang
2023 A* conf
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism.
AAAI
Chunjiang Ge, Shiji Song, Gao Huang
2023 J jnl
Competitive Meta-Learning.
IEEE CAA J. Autom. Sinica
Boxi Weng, Jian Sun, Gao Huang, Fang Deng, Gang Wang, Jie Chen
2023 J jnl
Computation-efficient Deep Learning for Computer Vision: A Survey.
CoRR
Yulin Wang, Yizeng Han, Chaofei Wang, Shiji Song, Qi Tian, Gao Huang
2023 J jnl
Convolution-Enhanced Evolving Attention Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
2023 J jnl
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention.
CoRR
Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang
2023 A* conf
Deep Incubation: Training Large Models by Divide-and-Conquering.
ICCV
Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
2023 J jnl
Detecting Generated Images by Real Images Only.
CoRR
Xiuli Bi, Bo Liu, Fan Yang, Bin Xiao, Weisheng Li, Gao Huang, Pamela C. Cosman
2023 A* conf
Dynamic Perceiver for Efficient Visual Recognition.
ICCV
Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang
2023 J jnl
Dynamic Perceiver for Efficient Visual Recognition.
CoRR
Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang
2023 A* conf
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.
ICCV
Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang
2023 J jnl
ExpeL: LLM Agents Are Experiential Learners.
CoRR
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2023 J jnl
Exploration With Task Information for Meta Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Peng Jiang, Shiji Song, Gao Huang
2023 A* conf
FLatten Transformer: Vision Transformer using Focused Linear Attention.
ICCV
Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang
2023 J jnl
FLatten Transformer: Vision Transformer using Focused Linear Attention.
CoRR
Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang
2023 J jnl
Fine-grained Recognition with Learnable Semantic Data Augmentation.
CoRR
Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang
2023 J jnl
GSVA: Generalized Segmentation via Multimodal Large Language Models.
CoRR
Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang
2023 J jnl
Generalized Activation via Multivariate Projection.
CoRR
Jiayun Li, Yuxiao Cheng, Zhuofan Xia, Yilin Mo, Gao Huang
2023 J jnl
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.
CoRR
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai
2023 J jnl
Glance and Focus Networks for Dynamic Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song
2023 J jnl
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance.
CoRR
Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song
2023 J jnl
Joint Representation Learning for Text and 3D Point Cloud.
CoRR
Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Shiji Song, Gao Huang
2023 J jnl
Latency-aware Unified Dynamic Networks for Efficient Image Recognition.
CoRR
Yizeng Han, Zeyu Liu, Zhihang Yuan, Yifan Pu, Chaofei Wang, Shiji Song, Gao Huang
2023 J jnl
Learning Specialized Activation Functions for Physics-informed Neural Networks.
CoRR
Honghui Wang, Lu Lu, Shiji Song, Gao Huang
2023 A* conf
Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds.
ICRA
Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang Li
2023 J jnl
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning.
CoRR
Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song
2023 J jnl
Mask Grounding for Referring Image Segmentation.
CoRR
Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang
2023 J jnl
Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Hangkai Hu, Gao Huang, Xiang Li, Shiji Song
2023 J jnl
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition.
CoRR
Sheng-Lan Liu, Yu-Ning Ding, Jin-Rong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Fei-Long Wang, Gao Huang
2023 J jnl
Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery.
CoRR
Xiangjie Yan, Yongpeng Jiang, Guokun Wu, Chen Chen, Gao Huang, Xiang Li
2023 J jnl
Offline Prioritized Experience Replay.
CoRR
Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan
2023 J jnl
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models.
CoRR
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
2023 A* conf
Rank-DETR for High Quality Object Detection.
NeurIPS
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
2023 J jnl
Rank-DETR for High Quality Object Detection.
CoRR
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
2023 A* conf
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning.
NeurIPS
Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang
2023 J jnl
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning.
CoRR
Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang
2023 J jnl
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang
2023 J jnl
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels.
CoRR
Rui Huang, Songyou Peng, Ayça Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann
2023 A* conf
Siamese Image Modeling for Self-Supervised Vision Representation Learning.
CVPR
Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai
2023 A* conf
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention.
CVPR
Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang
2023 J jnl
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention.
CoRR
Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang
2023 J jnl
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models.
CoRR
Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi
2023 A* conf
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.
CVPR
Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai
2023 A* conf
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning.
NeurIPS
Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang
2023 J jnl
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning.
CoRR
Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang
2023 A* conf
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.
NeurIPS
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
2023 J jnl
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.
CoRR
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
2023 A* conf
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.
AAAI
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
2023 A* conf
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning.
CVPR
Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
2023 J jnl
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning.
CoRR
Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
2022 A* conf
A Mixture Of Surprises for Unsupervised Reinforcement Learning.
NeurIPS
Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang
2022 J jnl
A Mixture of Surprises for Unsupervised Reinforcement Learning.
CoRR
Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang
2022 — conf
ActiveNeRF: Learning Where to See with Uncertainty Estimation.
ECCV (33)
Xuran Pan, Zihang Lai, Shiji Song, Gao Huang
2022 J jnl
ActiveNeRF: Learning where to See with Uncertainty Estimation.
CoRR
Xuran Pan, Zihang Lai, Shiji Song, Gao Huang
2022 A* conf
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.
CVPR
Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang
2022 — conf
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition.
ECCV (4)
Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang
2022 J jnl
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition.
CoRR
Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang
2022 A* conf
Assessing a Single Image in Reference-Guided Image Synthesis.
AAAI
Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang
2022 J jnl
Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics.
IEEE Trans. Neural Networks Learn. Syst.
Peng Jiang, Shiji Song, Gao Huang
2022 A* conf
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.
CVPR
Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu
2022 J jnl
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.
CoRR
Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
2022 J jnl
Boosted Dynamic Neural Networks.
CoRR
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi
2022 J jnl
Boosting Offline Reinforcement Learning via Data Rebalancing.
CoRR
Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022 A* conf
Contrastive Language-Image Pre-Training with Knowledge Graphs.
NeurIPS
Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang
2022 J jnl
Contrastive Language-Image Pre-Training with Knowledge Graphs.
CoRR
Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang
2022 J jnl
Convolution-enhanced Evolving Attention Networks.
CoRR
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
2022 J jnl
Convolutional Networks with Dense Connectivity.
IEEE Trans. Pattern Anal. Mach. Intell.
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
2022 J jnl
Cross-Modal Adapter for Text-Video Retrieval.
CoRR
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang
2022 J jnl
Deep Model Assembling.
CoRR
Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
2022 A* conf
DiSparse: Disentangled Sparsification for Multitask Model Compression.
CVPR
Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi
2022 J jnl
DiSparse: Disentangled Sparsification for Multitask Model Compression.
CoRR
Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi
2022 J jnl
Domain Adaptation via Prompt Learning.
CoRR
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang
2022 J jnl
Dynamic Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang
2022 A* conf
Efficient Knowledge Distillation from Model Checkpoints.
NeurIPS
Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang
2022 J jnl
Efficient Knowledge Distillation from Model Checkpoints.
CoRR
Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang
2022 J jnl
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.
CoRR
Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang
2022 A* conf
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.
CVPR
Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai
2022 J jnl
Generalized Domain Conditioned Adaptation Network.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang
2022 J jnl
Glance and Focus Networks for Dynamic Visual Recognition.
CoRR
Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song
2022 A* conf
Latency-aware Spatial-wise Dynamic Networks.
NeurIPS
Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang
2022 J jnl
Latency-aware Spatial-wise Dynamic Networks.
CoRR
Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang
2022 B conf
Learn From the Past: Experience Ensemble Knowledge Distillation.
ICPR
Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang
2022 J jnl
Learn From the Past: Experience Ensemble Knowledge Distillation.
CoRR
Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang
2022 — conf
Learning to Weight Samples for Dynamic Early-Exiting Networks.
ECCV (11)
Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang
2022 J jnl
Learning to Weight Samples for Dynamic Early-exiting Networks.
CoRR
Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang
2022 A* conf
On the Integration of Self-Attention and Convolution.
CVPR
Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang
2022 J jnl
PLAM: A plug-in module for flexible graph attention learning.
Neurocomputing
Xuran Pan, Shiji Song, Yiming Chen, Liejun Wang, Gao Huang
2022 J jnl
Preface.
J. Comput. Sci. Technol.
Min-Ling Zhang, Xiu-Shen Wei, Gao Huang
2022 A* conf
Provable General Function Class Representation Learning in Multitask Bandits and MDP.
NeurIPS
Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
2022 J jnl
Provable General Function Class Representation Learning in Multitask Bandits and MDPs.
CoRR
Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
2022 A* conf
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding.
CVPR
Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang
2022 J jnl
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding.
CoRR
Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang
2022 J jnl
Regularizing Deep Networks With Semantic Data Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu
2022 J jnl
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.
CoRR
Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang
2022 J jnl
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenjie Shi, Gao Huang, Shiji Song, Zhuoyuan Wang, Tingyu Lin, Cheng Wu
2022 J jnl
Siamese Image Modeling for Self-Supervised Vision Representation Learning.
CoRR
Chenxin Tao, Xizhou Zhu, Gao Huang, Yu Qiao, Xiaogang Wang, Jifeng Dai
2022 J jnl
TC
Neurocomputing
Chaofei Wang, Ke Yang, Shaowei Zhang, Gao Huang, Shiji Song
2022 J jnl
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu
2022 J jnl
The High Separation Probability Assumption for Semi-Supervised Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Gao Huang, Chaoqun Du
2022 J jnl
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.
CoRR
Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai
2022 J jnl
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.
CoRR
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022 A* conf
Vision Transformer with Deformable Attention.
CVPR
Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang
2022 J jnl
Vision Transformer with Deformable Attention.
CoRR
Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang
2021 A* conf
3D Object Detection With Pointformer.
CVPR
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang
2021 J jnl
A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing.
Multim. Tools Appl.
Shuli Cheng, Lie-Jun Wang, Gao Huang, Anyu Du
2021 J jnl
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.
CoRR
Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang
2021 A* conf
Adaptive Focus for Efficient Video Recognition.
ICCV
Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang
2021 J jnl
Adaptive Focus for Efficient Video Recognition.
CoRR
Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang
2021 J jnl
Assessing a Single Image in Reference-Guided Image Synthesis.
CoRR
Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang
2021 A* conf
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.
ICLR
Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
2021 J jnl
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.
CoRR
Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu
2021 A* conf
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning.
NeurIPS
Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao
2021 J jnl
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning.
CoRR
Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao
2021 A* conf
CondenseNet V2: Sparse Feature Reactivation for Deep Networks.
CVPR
Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian
2021 J jnl
CondenseNet V2: Sparse Feature Reactivation for Deep Networks.
CoRR
Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian
2021 A* conf
Cross-Iteration Batch Normalization.
CVPR
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
2021 J jnl
Deep Residual Correction Network for Partial Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding
2021 J jnl
Deep Siamese Networks Based Change Detection with Remote Sensing Images.
Remote. Sens.
Le Yang, Yiming Chen, Shiji Song, Fan Li, Gao Huang
2021 A* conf
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax.
ACM Multimedia
Peng Lu, Gao Huang, Hangyu Lin, Wenming Yang, Guodong Guo, Yanwei Fu
2021 J jnl
Dynamic Neural Networks: A Survey.
CoRR
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang
2021 A* conf
Evolving Attention with Residual Convolutions.
ICML
Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
2021 J jnl
Evolving Attention with Residual Convolutions.
CoRR
Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
2021 J jnl
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.
CoRR
Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai
2021 J jnl
Fine-Grained Few Shot Learning with Foreground Object Transformation.
CoRR
Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang
2021 J jnl
Fine-grained few shot learning with foreground object transformation.
Neurocomputing
Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang
2021 A* conf
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.
ICCV
Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang
2021 J jnl
Fusion layer attention for image-text matching.
Neurocomputing
Depeng Wang, Liejun Wang, Shiji Song, Gao Huang, Yuchen Guo, Shuli Cheng, Naixiang Ao, Anyu Du
2021 J jnl
Gated Path Selection Network for Semantic Segmentation.
IEEE Trans. Image Process.
Qichuan Geng, Hong Zhang, Xiaojuan Qi, Gao Huang, Ruigang Yang, Zhong Zhou
2021 J jnl
Generalized Domain Conditioned Adaptation Network.
CoRR
Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang
2021 J jnl
Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.
IEEE Trans. Syst. Man Cybern. Syst.
Le Yang, Shiji Song, Shuang Li, Yiming Chen, Gao Huang
2021 J jnl
Integrating Circle Kernels into Convolutional Neural Networks.
CoRR
Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
2021 J jnl
Large scale air pollution prediction with deep convolutional networks.
Sci. China Inf. Sci.
Gao Huang, Chunjiang Ge, Tianyu Xiong, Shiji Song, Le Yang, Baoxian Liu, Wenjun Yin, Cheng Wu
2021 A* conf
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition.
NeurIPS
Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang
2021 J jnl
Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.
CoRR
Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang
2021 J jnl
On the Integration of Self-Attention and Convolution.
CoRR
Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang
2021 J jnl
On the Power of Multitask Representation Learning in Linear MDP.
CoRR
Rui Lu, Gao Huang, Simon S. Du
2021 A* conf
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.
ICLR
Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang
2021 J jnl
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.
CoRR
Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang
2021 A* conf
Searching Parameterized AP Loss for Object Detection.
NeurIPS
Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai
2021 J jnl
Searching Parameterized AP Loss for Object Detection.
CoRR
Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai
2021 J jnl
Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration.
IEEE Trans. Syst. Man Cybern. Syst.
Hangkai Hu, Shiji Song, Gao Huang
2021 J jnl
Spatially Adaptive Feature Refinement for Efficient Inference.
IEEE Trans. Image Process.
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang
2021 J jnl
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning.
CoRR
Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu
2021 A* conf
Towards Learning Spatially Discriminative Feature Representations.
ICCV
Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang
2021 J jnl
Towards Learning Spatially Discriminative Feature Representations.
CoRR
Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang
2020 J jnl
3D Object Detection with Pointformer.
CoRR
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang
2020 J jnl
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.
CoRR
Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
2020 J jnl
Collaborative learning with corrupted labels.
Neural Networks
Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu
2020 J jnl
Convolutional Networks with Dense Connectivity.
CoRR
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
2020 J jnl
Cross-Iteration Batch Normalization.
CoRR
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
2020 J jnl
Deep Residual Correction Network for Partial Domain Adaptation.
CoRR
Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding
2020 A* conf
Domain Conditioned Adaptation Network.
AAAI
Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang
2020 J jnl
Domain Conditioned Adaptation Network.
CoRR
Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang
2020 J jnl
FSD-10: A Dataset for Competitive Sports Content Analysis.
CoRR
Shenglan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao
2020 J jnl
FSD-10: A fine-grained classification dataset for figure skating.
Neurocomputing
Shenglan Liu, Xiang Liu, Gao Huang, Hong Qiao, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Ge Guo
2020 J jnl
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.
CoRR
Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang
2020 J jnl
Gated Path Selection Network for Semantic Segmentation.
CoRR
Qichuan Geng, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Zhong Zhou, Gao Huang
2020 A* conf
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.
NeurIPS
Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang
2020 J jnl
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.
CoRR
Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang
2020 J jnl
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning.
CoRR
Yulin Wang, Jiayi Guo, Shiji Song, Gao Huang
2020 J jnl
Regularizing Deep Networks with Semantic Data Augmentation.
CoRR
Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu
2020 A* conf
Resolution Adaptive Networks for Efficient Inference.
CVPR
Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang
2020 J jnl
Resolution Adaptive Networks for Efficient Inference.
CoRR
Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang
2020 J jnl
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning.
CoRR
Wenjie Shi, Shiji Song, Zhuoyuan Wang, Gao Huang
2020 — conf
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation.
ECCV (1)
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
2020 J jnl
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation.
CoRR
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
2019 A* conf
Anytime Stereo Image Depth Estimation on Mobile Devices.
ICRA
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger
2019 A* conf
Asymmetric Valleys: Beyond Sharp and Flat Local Minima.
NeurIPS
Haowei He, Gao Huang, Yang Yuan
2019 J jnl
Asymmetric Valleys: Beyond Sharp and Flat Local Minima.
CoRR
Haowei He, Gao Huang, Yang Yuan
2019 J jnl
Cross-Domain Extreme Learning Machines for Domain Adaptation.
IEEE Trans. Syst. Man Cybern. Syst.
Shuang Li, Shiji Song, Gao Huang, Cheng Wu
2019 J jnl
Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis.
IEEE Trans. Control. Syst. Technol.
Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang
2019 J jnl
Gradient Boosted Feature Selection.
CoRR
Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
2019 A* conf
Horizontal Pyramid Matching for Person Re-Identification.
AAAI
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang
2019 A* conf
Implicit Semantic Data Augmentation for Deep Networks.
NeurIPS
Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu
2019 J jnl
Implicit Semantic Data Augmentation for Deep Networks.
CoRR
Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang
2019 A* conf
Improved Techniques for Training Adaptive Deep Networks.
ICCV
Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang
2019 J jnl
Improved Techniques for Training Adaptive Deep Networks.
CoRR
Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang
2019 — conf
Interpretable Spatio-Temporal Attention for Video Action Recognition.
ICCV Workshops
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal
2019 A* conf
Joint Adversarial Domain Adaptation.
ACM Multimedia
Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang
2019 J jnl
Learning decomposed subspaces for supervised bidirectional image generation.
Cogn. Comput. Syst.
Peng Lu, Hangyu Lin, Yanwei Fu, Gao Huang, Libo Wu
2019 J jnl
Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.
IEEE Trans. Neural Networks Learn. Syst.
Le Yang, Shiji Song, Yanshang Gong, Gao Huang, Cheng Wu
2019 A* conf
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning.
NeurIPS
Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang
2019 J jnl
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning.
CoRR
Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang
2019 — conf
Rethinking the Value of Network Pruning.
ICLR (Poster)
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell
2018 J jnl
An empirical study on evaluation metrics of generative adversarial networks.
CoRR
Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger
2018 J jnl
Anytime Stereo Image Depth Estimation on Mobile Devices.
CoRR
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger
2018 A* conf
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions.
CVPR
Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
2018 J jnl
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.
IEEE Trans. Image Process.
Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu
2018 J jnl
Horizontal Pyramid Matching for Person Re-identification.
CoRR
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang
2018 J jnl
Learning Large Euclidean Margin for Sketch-based Image Retrieval.
CoRR
Peng Lu, Gao Huang, Yanwei Fu, Guodong Guo, Hangyu Lin
2018 — conf
Multi-Scale Dense Networks for Resource Efficient Image Classification.
ICLR
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
2018 A* conf
Resource Aware Person Re-Identification Across Multiple Resolutions.
CVPR
Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger
2018 J jnl
Resource Aware Person Re-identification across Multiple Resolutions.
CoRR
Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger
2018 J jnl
Rethinking the Value of Network Pruning.
CoRR
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell
2018 J jnl
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos.
CoRR
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal
2017 J jnl
CondenseNet: An Efficient DenseNet using Learned Group Convolutions.
CoRR
Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
2017 A* conf
Densely Connected Convolutional Networks.
CVPR
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger
2017 J jnl
Dimension Reduction by Minimum Error Minimax Probability Machine.
IEEE Trans. Syst. Man Cybern. Syst.
Shiji Song, Yanshang Gong, Yuli Zhang, Gao Huang, Guang-Bin Huang
2017 A* conf
Learning Efficient Convolutional Networks through Network Slimming.
ICCV
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang
2017 J jnl
Learning Efficient Convolutional Networks through Network Slimming.
CoRR
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang
2017 J jnl
Memory-Efficient Implementation of DenseNets.
CoRR
Geoff Pleiss, Danlu Chen, Gao Huang, Tongcheng Li, Laurens van der Maaten, Kilian Q. Weinberger
2017 J jnl
Multi-Scale Dense Convolutional Networks for Efficient Prediction.
CoRR
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
2017 — conf
Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis.
CCTA
Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang
2017 J jnl
Prediction Reweighting for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Shuang Li, Shiji Song, Gao Huang
2017 — conf
Snapshot Ensembles: Train 1, Get M for Free.
ICLR (Poster)
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
2017 J jnl
Snapshot Ensembles: Train 1, get M for free.
CoRR
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
2017 J jnl
Twin extreme learning machines for pattern classification.
Neurocomputing
Yihe Wan, Shiji Song, Gao Huang, Shuang Li
2016 — conf
Deep Networks with Stochastic Depth.
ECCV (4)
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
2016 J jnl
Deep Networks with Stochastic Depth.
CoRR
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
2016 J jnl
Densely Connected Convolutional Networks.
CoRR
Gao Huang, Zhuang Liu, Kilian Q. Weinberger
2016 — conf
Supervised Word Mover's Distance.
NIPS
Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger
2015 B conf
Dimension Reduction by Maximizing Pairwise Discriminations.
SMC
Yanshang Gong, Shiji Song, Gao Huang
2015 J jnl
Discriminative clustering via extreme learning machine.
Neural Networks
Gao Huang, Tianchi Liu, Yan Yang, Zhiping Lin, Shiji Song, Cheng Wu
2015 J jnl
Efficient Lasso training from a geometrical perspective.
Neurocomputing
Quan Zhou, Shiji Song, Gao Huang, Cheng Wu
2015 B conf
Incremental Extreme Learning Machine Based on Cascade Neural Networks.
SMC
Yihe Wan, Shiji Song, Gao Huang
2015 A* conf
Maximin Separation Probability Clustering.
AAAI
Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen
2015 J jnl
Trends in extreme learning machines: A review.
Neural Networks
Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You
2015 J jnl
Unsupervised neighborhood component analysis for clustering.
Neurocomputing
Chen Qin, Shiji Song, Gao Huang, Lei Zhu
2014 A* conf
Gradient boosted feature selection.
KDD
Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
2014 B conf
Non-linear neighborhood component analysis based on constructive neural networks.
SMC
Chen Qin, Shiji Song, Gao Huang
2014 J jnl
Semi-Supervised and Unsupervised Extreme Learning Machines.
IEEE Trans. Cybern.
Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu
2014 — conf
Transductive Minimax Probability Machine.
ECML/PKDD (1)
Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger
2013 J jnl
A second order cone programming approach for semi-supervised learning.
Pattern Recognit.
Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu
2013 — conf
Anytime Representation Learning.
ICML (3)
Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger
2013 J jnl
Kernelized LARS-LASSO for constructing radial basis function neural networks.
Neural Comput. Appl.
Quan Zhou, Shiji Song, Cheng Wu, Gao Huang
2012 J jnl
Orthogonal Least Squares Algorithm for Training Cascade Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Gao Huang, Shiji Song, Cheng Wu
2012 J jnl
Robust Support Vector Regression for Uncertain Input and Output Data.
IEEE Trans. Neural Networks Learn. Syst.
Gao Huang, Shiji Song, Cheng Wu, Keyou You